Nuclear pores as versatile reference standards for quantitative superresolution microscopy JV Thevathasan*, M Kahnwald*, K Cieśliński, P Hoess, SK Peneti, ... Nature methods 16 (10), 1045-1053, 2019 | 256 | 2019 |
Quantitative Data Analysis in Single-Molecule Localization Microscopy YL Wu*, A Tschanz*, L Krupnik*, J Ries Trends in Cell Biology, 2020 | 52 | 2020 |
Depth-dependent PSF calibration and aberration correction for 3D single-molecule localization Y Li, YL Wu, P Hoess, M Mund, J Ries Biomedical optics express 10 (6), 2708-2718, 2019 | 41 | 2019 |
Global fitting for high-accuracy multi-channel single-molecule localization Y Li, W Shi, S Liu, I Cavka, YL Wu, U Matti, D Wu, S Koehler, J Ries Nature Communications 13 (1), 1-11, 2022 | 26 | 2022 |
Maximum-likelihood model fitting for quantitative analysis of SMLM data YL Wu, P Hoess, A Tschanz, U Matti, M Mund, J Ries Nature Methods, 2022 | 20 | 2022 |
Nanoscale structural organization and stoichiometry of the budding yeast kinetochore K Cieslinski*, YL Wu*, L Nechyporenko, SJ Hörner, D Conti, M Skruzny, ... Journal of Cell Biology 222 (4), e202209094, 2023 | 16 | 2023 |
Clathrin coats partially preassemble and subsequently bend during endocytosis M Mund*, A Tschanz*, YL Wu, F Frey, JL Mehl, M Kaksonen, O Avinoam, ... Journal of Cell Biology 222 (3), e202206038, 2023 | 13 | 2023 |
Superresolution microscopy reveals partial preassembly and subsequent bending of the clathrin coat during endocytosis M Mund*, A Tschanz*, YL Wu, F Frey, JL Mehl, M Kaksonen, O Avinoam, ... BioRxiv, 2022 | 13 | 2022 |
Identification of Entry Factors Involved in Hepatitis C Virus Infection Based on Host-Mimicking Short Linear Motifs AWT Chiang*, WYL Wu*, T Wang*, MJ Hwang PLoS computational biology 13 (1), e1005368, 2017 | 9 | 2017 |
A Noise-Tolerating Gene Association Network Uncovering an Oncogenic Regulatory Motif in Lymphoma Transcriptomics WQ Fang, YL Wu, MJ Hwang Life 13 (6), 1331, 2023 | | 2023 |
Nanoscale structural organization and stoichiometry of the budding yeast kinetochore K Cieslinski*, YL Wu*, L Nechyporenko, SJ Hörner, D Conti, J Ries bioRxiv, 2021 | | 2021 |
Maximum-likelihood model fitting for quantitative analysis of SMLM data YL Wu, P Hoess, A Tschanz, U Matti, M Mund, J Ries bioRxiv, 2021 | | 2021 |